Dyania Health的Synapsis AI审查了克利夫兰诊所超过7800名心脏瓣膜患者的病历，运行在该医院自己的英伟达服务器上。数据被用于构建预测替换瓣膜何时失效的模型。医生仍做出每一个决定。
Dyania Health’s Synapsis AI reviewed the records of more than 7,800 Cleveland Clinic heart-valve patients, running on the hospital’s own Nvidia servers. The data was used to build a model predicting when replacement valves fail. Doctors still make every decision.
英伟达周五表示，一个AI系统读取了克利夫兰诊所超过7800名心脏病患者长达16年的病历记录。它完全运行在医院自己的服务器上。该软件Synapsis AI由新泽西州初创公司Dyania Health开发。
An AI system has read up to 16 years of records for more than 7,800 Cleveland Clinic heart patients, Nvidia said on Friday. It ran entirely on the hospital’s own servers. The software, Synapsis AI, is made by New Jersey startup Dyania Health.
患者病史大部分记录在医生笔记和扫描报告中，而非整齐的数据字段。Synapsis读取这些笔记并回答临床问题，每个答案都链接回其来源记录。它运行在医院网络内的英伟达硬件上，病历从未离开大楼，这与由英伟达构建的英国国民保健服务体系分诊AI类似。
Much of a patient’s history sits in doctors’ notes and scan reports rather than tidy data fields. Synapsis reads those notes and answers clinical questions, linking each answer back to the record it came from. It runs on Nvidia hardware inside the hospital’s network, so records never leave the building, much like a UK NHS triage AI built with Nvidia.
在研究中，它回答了2005年至2021年间接受主动脉瓣置换术的每位患者的88个问题。由此产生的数据被用于构建一个模型，预测替换瓣膜在手术后三年、五年和十年失效的风险。英伟达表示，人工病历审查将让临床医生花费数年时间。
For the study, it answered 88 questions about each patient who had an aortic valve replaced between 2005 and 2021. The resulting data was used to build a model that predicts the risk of a replacement valve failing three, five and ten years after surgery. Nvidia says the chart review would have taken clinicians years by hand.
克利夫兰诊所心脏研究所负责人拉尔斯·斯文松称其为“改善患者预后和提供更个性化护理的一个有希望的步骤”。医生仍审查AI的证据并做出每一个决定。该研究表明该工具可以构建数据集并预测风险，而非证明它能改善护理，Dyania表示仍需要外部验证。克利夫兰诊所也是Dyania的投资者，该机构去年在推出该工具用于试验招募时披露了这一信息。
Lars Svensson, head of Cleveland Clinic’s heart institute, called it “a promising step towards enhanced outcomes and more personalized care for patients.”Doctors still review the AI’s evidence and make every decision. The study shows the tool can build a dataset and predict risk, not that it improves care, and Dyania says it still needs outside validation. Cleveland Clinic is also an investor in Dyania, it disclosed last year when it rolled the tool out for trial recruitment.
科技巨头正大力进军医院病历领域。谷歌云本周推出了面向医疗的Gemini，Bunkerhill筹集了5500万美元用于医院AI代理。但对患者的实际收益仍难以找到，医生们也对大胆的说法提出了反对。
Big tech is pushing hard into hospital records. Google Cloud launched Gemini for healthcare this week, and Bunkerhill raised $55M for hospital AI agents. But proven gains for patients remain harder to find, and doctors have pushed back on bold claims.